{"id":"W4323295271","doi":"10.1097/rct.0000000000001422","title":"The “Crossing Collection Sign”: A Diagnostic Tool on Spine Magnetic Resonance Imaging For Localizing Cerebrospinal Fluid Leak","year":2023,"lang":"en","type":"article","venue":"Journal of Computer Assisted Tomography","topic":"Neurosurgical Procedures and Complications","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nexen (Canada)","funders":"","keywords":"Medicine; Myelography; Leak; Magnetic resonance imaging; Cerebrospinal fluid; Interquartile range; Cerebrospinal fluid leak; Lumbar; Radiology; Institutional review board; Nuclear medicine; Surgery; Spinal cord; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008074948,0.0005079458,0.0003803687,0.001752967,0.0002318395,0.0005655497,0.0003430968,0.0005566353,0.001548282],"category_scores_gemma":[0.003937541,0.0001857691,0.0002222427,0.0006036179,0.000519412,0.0008637016,0.0004778486,0.0002833013,0.0005119765],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001884252,"about_ca_system_score_gemma":0.0005062893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004322213,"about_ca_topic_score_gemma":0.0007580674,"domain_scores_codex":[0.9995275,0.0001027016,0.0001045157,0.00006274202,0.0001134196,0.00008917619],"domain_scores_gemma":[0.9975805,0.0004001941,0.001352955,0.00007672091,0.0002759169,0.0003136235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001130212,0.00003257902,0.9933734,0.00001593177,0.00001151689,0.001884267,0.00004040435,0.0000357571,0.001958941,0.000009988511,0.00007869283,0.002445549],"study_design_scores_gemma":[0.00004275833,0.0011199,0.918292,0.00005596386,0.00005407392,0.07615651,0.0004273028,0.0008223347,0.002431254,0.00003823566,0.000538431,0.00002120065],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.998962,0.0002270951,0.0002477153,0.00002979033,0.000008017348,0.00001693844,0.00005866772,0.000007483388,0.0004423059],"genre_scores_gemma":[0.9992305,0.00008537013,0.0004911625,0.00002117723,0.00002025573,0.000009906504,0.00007942783,0.000001456479,0.00006076675],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001752967,"threshold_uncertainty_score":0.005179524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01622535218353785,"score_gpt":0.2766312641208954,"score_spread":0.2604059119373576,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}